AI security and data availability to underpin 2025 tech trends

Author: Simon Rowley

AI has continued to be transformative throughout 2024, with accelerating adoption by enterprises and a growing number of use cases. According to experts from data platform, Nasuni, the AI boom will continue in 2025, but will be defined by three key pillars:

1. 1. 2025 will bring a new era of security maturity – The ability to protect and quickly recover data assets underpins every other business process in an AI-first world
2. 2. Data readiness will be central to AI success – As we look toward 2025, data will no longer just support AI, it will shape and limit the scope of what AI can achieve
3. 3. Enterprises will strive to find the real ROI in AI – 2025 will usher in a more measured approach to AI investment, as organisations will be increasingly focused on quantifiable ROI

Discussing these predictions, Russ Kennedy, Chief Evangelist at Nasuni, says, “In 2025, data will be more valuable than ever as enterprises leverage AI to power their operations. However, as data’s value grows, so does its appeal to increasingly sophisticated threat actors. This new reality will continue driving organisations to rethink their security frameworks, making data protection and rapid recovery the backbone of any AI strategy. Attackers are evolving, using AI to create more insidious methods, like embedding corrupted models and targeting AI frameworks directly, which makes rapid data recovery as vital as data protection itself.

“Businesses will need to deploy rigorous measures not only to prevent attacks, but to ensure that if the worst happens, they can quickly restore their AI-driven processes. 2025 will bring a new era of security maturity, one where the ability to protect and quickly recover data assets underpins every other business process in an AI-first world.”

Jim Liddle, Chief Innovation Officer Data Intelligence and AI at Nasuni, comments, “As we look toward 2025, data will no longer just support AI – it will shape and limit the scope of what AI can achieve. A robust data management strategy will be essential, especially as AI continues advancing into unstructured data. For years, companies have successfully leveraged structured data for insights, but unstructured data – such as documents, images, and embedded files – has remained largely untapped. The continued advancements in AI’s ability to process the different types of unstructured data that reside within an enterprise are exciting, but they also require organisations to know what data they have and how and where it’s being used.

“2025 will mark the era of ‘data readiness’ for AI. Companies that strategically curate and manage their data assets will see the most AI-driven value, while those lacking a clear data strategy may struggle to move beyond the basics. A data-ready strategy is the first step for any enterprise looking to maximise AI’s full potential in the coming years.”

Nick Burling, Senior Vice President, Product at Nasuni, adds, “2025 will usher in a more measured approach to AI investment, as organisations will be increasingly focused on quantifiable ROI. While AI can deliver immense value, its high operational costs and resource demands mean that companies need to be more selective with their AI projects. Many enterprises will find that running data-heavy applications, especially at scale, requires not just investment but careful cost management. Edge data management will be a critical component, helping businesses to optimise data flow and control expenses associated with AI.

“For organisations keen on balancing innovation with budgetary constraints, cost efficiency will drive AI adoption. Enterprises will focus on using AI strategically, ensuring that every AI initiative is justified by clear, measurable returns. In 2025, we’ll see businesses embrace AI not only for its transformative potential, but for how effectively it can deliver sustained, tangible value in an environment where budgets continue to be tightly scrutinised.”

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